Remote Enterprise Sales Lead - AI Voice for Healthcare

Intron provides real-time voice recognition system tailored for African accents, addressing a critical gap in speech AI for enterprises and startups who want to scale user engagement and boost productivity and efficiency, e.g. in clinics, courtrooms, and call centers across Africa where over 10 million human hours is lost annually to painful manual documentation despite being chronically understaffed.

In Health, we provide clinical speech recognition for 400+ accents spoken in developing countries starting with Africa, providing up to 7x documentation speed up, and saving overworked doctors 3hrs per day so they can focus better on patient care. We integrate this speech-to-text technology into our EMR, further cutting over 60% of administrative paperwork, improving operational efficiency, and enabling real-time disease surveillance.

At Intron, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and empowered to contribute their best.

Work Culture:

We operate in a remote and fast-paced work environment where every team member has the autonomy to deliver on agreed goals with flexible schedules and regular team-building events to foster collaboration and innovation. We are avid learners and offer growth and clear career progression pathways, ensuring every team member achieves their full potential.

Employment type:

A full-time employee who believes in our mission and is willing to grow with the company.

Job Overview: We are seeking an ambitious and strategic Sales Lead to drive the adoption of our voice services within and beyond the healthcare industry (e.g. financial services, e-commerce, logistics, education, and aviation), negotiate enterprise contracts, and close deals. This role will require a dynamic leader who can develop and nurture key relationships, grow our pipeline, and accelerate pipeline velocity.

Responsibilities:

Sales Leadership & Strategy

• Own the go-to-market strategy across all verticals, aligning with company growth objectives.
• Design and execute sales playbooks for clinical, educational and legal markets.
• Build and manage a high-performing sales team, including BDSL and account managers
• Set quarterly and annual targets; track performance against KPIs.

Business Development & Partnerships

• Drive deals from pilot to commercialization, ensuring commercial success and customer stickiness.
• Build and nurture C-level relationships with hospitals, logistics players, and legal institutions.
• Negotiate contracts and pricing models, balancing profitability and customer value.
• Expand distribution channels through strategic alliances and partnerships.

Sales Process & Execution

• Implement a structured pipeline management process (CRM discipline, forecasting, reporting).
• Ensure seamless handoff between pre-sales, implementation, and customer success.
• Standardize proposals, RFP responses, and commercial documentation.
• Collaborate with product and operations to align sales efforts with solution readiness and customer feedback.
• Monitor competitive landscape and identify new growth opportunities.
• Feed insights back into product roadmap to ensure market fit.
• Represent Intron at industry events, conferences, and client workshops.

Our Ideal Candidate has:

• 5+ years of experience in sales, business development, or partnerships, preferably in technology, financial services, healthcare, e-Commerce, or logistics.
• Proven track record of driving growth and establishing successful partnerships.
• Strong negotiation and relationship management skills.
• Strategic thinker with the ability to identify and capitalize on growth opportunities.
• Excellent communication and presentation skills.
• Not in this for the money (because we’re obviously a seed-stage startup, we don’t have it) but is ready to co-invest sweat, time, and effort for outsized returns in the future

How to apply: Send us your resume. Your resume should be in reverse chronological order showing the most recent experience projects first. Under each experience, kindly provide 3 to 4 bullet points describing interesting problems you solved, achievements or important lessons learned on the job. The Education/Academic qualification section should follow. The achievements/awards section should follow. Lastly, include any other information you think may be RELEVANT to the role. Please fill out the Intron application form and upload this resume here.

More About Intron

[Optional reading]

About the Founder

Tobi Olatunji is a physician turned Machine Learning Scientist with a passion for Global Health.

Tobi’s journey to starting Intron is nothing short of epic. He’s worked with big names like AWS Health AI, Enlitic Inc., and Cambia Health Solutions building intelligent Natural Language processing tools for healthcare used in Australia, Brazil, Canada, Japan, UK, and the US. Now, he’s on the Advisory Board at Harvard’s OpenNotes Lab, pushing for responsible AI in healthcare. His research spans accented speech recognition, algorithmic bias, and more, with publications in top machine learning conferences like NeurIPS, Interspeech, and EMNLP.

With a mix of medical and tech degrees, including an MBBS, an MSc in Medical Informatics, and MSc in Computer Science at Georgia Tech, a certificate in Healthcare Management from Yale School of Management, plus three US tech patents, Tobi is a true innovator. He’s also a key member of the Commonwealth AI Consortium and the Research Director at Bio-RAMP Labs.

• Google Research, Gates Foundation, and Intron collaboration: link
• Commonwealth Partnership Announcement: link and link
• Harvard+BIDMC OpenNotes Advisory Board: link
• Harvard Radcliffe Consortium on scaling Digital Health Innovations in Africa: link

Cool research papers coming out of our lab:

• AfriSpeech [MITPress 2023]: our pan-African clinical speech dataset with benchmarks
• AfriNames [Interspeech 2023]: most ASR models butcher African names
• AccentFolds [EACL 2024]: models can learn African cultural and geopolitical relationships from speech data
• ASR on Medical Entities [Interspeech 2024]: models can work great on non-medical speech but perform worse on medical terms
• AfroTTS [Interspeech 2024]: A 1000 African Voices; generating English speech in nearly 1000 African accents
• AfriMed-QA [ACL 2025]: the largest study on LLMs in African healthcare

Best-in-class speech recognition and text-to-speech models with audio intelligence, making voice the user interface of the future #J-18808-Ljbffr